... best model changes monthly, and rebuilding your stack every quarter has a real cost. In most platform shifts, the fast follower wins (think Apple). But this shift compounds in a way that previous ones didn't. When a competitor retools around agents, they don't get a one-time productivity bump. Their iteration speed itself changes, so the gap between you and them widens every week you wait. I've felt this firsthand. We're 3 people, and we replaced ... ... weeks of back-and-forth the old way. And honestly, a year later, the 2-day version already feels slow. The dust never settles, because the thing kicking it up is the thing improving. Waiting for AI to stabilize

... like telegram more than the whatsapp for chatting :) VS Code : i do code . Comment from mono.(@shakutovbekzat): Here s my stack for building mobile apps today: Antigravity + Codex (AI Agent): Switched to this setup recently. Previously, VS

... months ago, we ran an experiment with our own data. At Rankfender, we tracked 5 of our own competitors across 8 AI systems. We log their share of voice, citation velocity, content gaps, platform variance. Months of raw numbers sitting in a dashboard. I pulled 6 months of data and fed it into Claude. One question: "Based on this, who is most likely to overtake us in the next 6 months? Show your work. Use the data. Don't summarize ... ... Give me the numbers." The answer changed how I think about competition. The dataset: 5 competitors

... building SmartDial for outbound sales teams and shipping fast. Right now using Firebase, and it s getting tricky balancing speed with stability. Curious how do you manage staging vs